The hypothesis that safety measures may lead to behavioral changes that offset the benefits of the measures, potentially leading to risk compensation. Crucial for understanding risk behavior and designing systems that account for compensatory behaviors.
The core principles that underpin agile methodologies, focusing on collaboration, flexibility, and customer satisfaction. Crucial for guiding agile practices and ensuring effective project delivery.
The abilities and knowledge required to effectively plan, execute, and close projects, including leadership, communication, time management, and risk management. Essential for ensuring successful project outcomes and achieving business objectives.
The error of making decisions based solely on quantitative observations and ignoring all other factors. Important for ensuring a holistic approach to decision-making.
Plan-Do-Check-Act (PDCA) is an iterative four-step management method used for continuous improvement of processes and products. Essential for quality control and operational efficiency.
A cognitive architecture model that explains how humans can learn and adapt to new tasks. Useful for understanding user learning and behavior adaptation, informing better user experience design.
A set of cognitive processes that include working memory, flexible thinking, and self-control, crucial for planning, decision-making, and behavior regulation. Crucial for designing interfaces and experiences that support users' cognitive abilities.
A document that outlines the objectives, scope, deliverables, and timeline of a project, providing clear direction and expectations for all stakeholders. Crucial for ensuring clear communication and alignment among project stakeholders.
The study of dynamic systems that are highly sensitive to initial conditions, leading to unpredictable behavior. Important for recognizing and managing unpredictable elements in design and development processes.
An experimental design where subjects are paired based on certain characteristics, and then one is assigned to the treatment and the other to the control group. Important for reducing variability and improving the accuracy of experimental results.
A cognitive bias where people tend to remember the first and last items in a series better than those in the middle, impacting recall and memory. Crucial for designing information presentation to optimize user memory and recall.
A set of criteria that a user story or task must meet before being accepted into the development cycle, ensuring it is actionable and clear. Essential for ensuring that tasks are well-defined and ready for development.
An approach to design that actively involves all stakeholders (e.g., employees, partners, customers) in the design process. Crucial for creating designs that truly meet user needs and expectations.
A decision-making strategy where individuals are prompted to make a choice rather than defaulting to a pre-set option. Useful for increasing user engagement and ensuring intentional decision-making.
A clear and concise list of criteria that a product or task must meet to be considered complete, ensuring alignment and understanding within a team. Essential for maintaining quality and consistency in agile project management.
Performance and Accountability Reporting (PAR) is a comprehensive document that outlines an organization's performance in achieving its goals and its accountability in managing resources. This report is essential for transparency, governance, and continuous improvement.
A prioritized list of tasks, features, and technical debt items that need to be addressed by the engineering team. Essential for managing and organizing work in software development projects.
The tendency for people to feel more motivated and accelerate their efforts as they get closer to achieving a goal. Important for designing systems that motivate users effectively.
The systematic approach to dealing with the transition or transformation of an organization's goals, processes, or technologies. Essential for managing and facilitating successful organizational changes.
A high-level description of a system's structure and interactions, focusing on its market-facing aspects rather than technical details. Useful for communicating the value and structure of a digital product to non-technical stakeholders and aligning with market needs.
The process of encoding sensory input that has particular meaning or can be applied to a context, enabling deeper processing and memory retention. Important for understanding how information is processed and stored, enhancing design of educational content.
Numeronym for the word "Personalization" (P + 13 letters + N), tailoring a product, service, or experience to meet the individual preferences, needs, or behaviors of each user. Important for enhancing user satisfaction and engagement.
Data points that differ significantly from other observations and may indicate variability in a measurement, experimental errors, or novelty. Crucial for identifying anomalies and ensuring the accuracy and reliability of data in digital product design.
A cognitive bias where people prefer the option that seems to eliminate risk entirely, even if another option offers a greater overall benefit. Important for understanding decision-making and designing risk communication for users.
A cognitive bias where people underestimate the influence of emotional states on their own and others' behavior. Crucial for designers to account for varying user emotional states in experience design.
Garbage In-Garbage Out (GIGO) is a principle stating that the quality of output is determined by the quality of the input, especially in computing and data processing. Crucial for ensuring accurate and reliable data inputs in design and decision-making processes.
A type of artificial intelligence that enables systems to learn from data and improve over time without being explicitly programmed. Crucial for developing intelligent systems that can make data-driven decisions.
Also known as Self Relevance Effect, the tendency for individuals to better remember information that is personally relevant or related to themselves. Important for designing personalized user experiences and enhancing memory retention.
Detailed, Estimated, Emergent, and Prioritized (DEEP) is an agile project management framework for a well-maintained product backlog. Important for maintaining a clear and actionable backlog in agile methodologies.
A cognitive bias where individuals underestimate their own abilities and performance relative to others, believing they are worse than average. Important for understanding self-perception biases among designers and designing systems that support accurate self-assessment.
An iterative design process that uses algorithms and computational tools to generate a wide range of design solutions based on defined constraints and goals. Crucial for exploring innovative and optimized design solutions.
The process of planning, executing, tracking, and analyzing marketing campaigns. Essential for ensuring the success and efficiency of marketing campaigns.
The belief in one's ability to succeed in specific situations or accomplish a task, influencing motivation and behavior. Crucial for designing systems that enhance user confidence and encourage goal achievement.
A cognitive bias where consumers change their preference between two options when presented with a third, less attractive option. Useful for designers to create choice architectures that effectively influence user decisions.